Three Tech Giants Seen as Less Risky Bets Amid AI Spending Surge

Investor nervousness about AI spending stems from the sheer scale of capital outlays: companies like Amazon are committing $200 billion（約32兆円） annually, and the risk is that these investments may not generate adequate returns if AI strategies falter or prove less transformative than expected. The article positions three firms as having structural advantages that could cushion downside risk in such a scenario. Nvidia's advantage is straightforward—it is primarily a supplier of AI hardware (accelerators that companies need to build infrastructure), so its fortunes rest on industry-wide adoption rather than its own execution of an AI strategy. Its modest capex relative to revenue growth ($1.75 billion（約2800億円） spent versus an 85% year-over-year revenue increase) suggests the business is capital-efficient and already profitable from existing demand. Microsoft and Meta face higher execution risk because they are betting their own strategic futures on AI—Microsoft through Copilot and cloud services, Meta through a costly pivot away from near-total dependence on advertising. However, both have near-term revenue engines that are still expanding: Microsoft's cloud segment grew 27% despite overall stock weakness, and Meta's advertising revenue grew 33% in Q1 even as the company commits to heavy AI capex. Their lower current valuation multiples (P/E ratios of 23 and 22, respectively, compared to Nvidia's 30) may price in skepticism about their AI transformation, meaning further downside could be limited. For investors, the thesis appears to be that these three companies have either a structural competitive moat (Nvidia's supplier position), or enough current profitability and growth (Microsoft and Meta) to absorb losses or delays in their AI initiatives without financial crisis.